Remotery

Data Product Owner

atRyder System, Inc.US flagFloridaFull-timeProduct ManagerMid-levelSenior$100k – $115k/year

Posted Jun 20

This is a fully remote position, open to applicants in Florida.

đź“‹ Description

• Take ownership of the complete delivery of data as a product—collaborating with customers and internal teams to create a leading data solution.

• Track internal processes and product performance through Power BI dashboards, KPIs, and data quality indicators; pinpoint issues and initiate corrective measures.

• Manage the data product roadmap and backlog: outline epics, craft user stories with acceptance criteria, and prioritize delivery based on customer value, risk, and feasibility.

• Formulate a strategic plan to advance existing data capabilities into a top-tier data product (e.g., data access, packaging, governance, pricing/entitlements, and customer experience).

• Lead requirements coordination with the established enterprise IT data management team to access, model, and transform data into insights and products ready for customers.

• Collaborate across functions with IT engineering, analytics, security, legal/compliance, and customer teams to produce secure, reliable, and scalable data products.


⛳️ Requirements

• Bachelor's Degree in Computer Science, Information Systems, Data Science, Engineering, or a related field (or equivalent experience).

• 3 years or more of experience in product ownership/management, technical program management, or analytics roles delivering data platforms, data products, or API-enabled capabilities.

• Practical experience with Power BI (or similar) for KPI definition, dashboard creation, and performance monitoring.

• Strong understanding of cloud data warehousing and analytics patterns; experience with Snowflake is preferred.

• Knowledge of APIs (REST concepts, authentication/authorization, versioning) and how customers programmatically consume data products.

• Familiarity with machine learning concepts and lifecycle (feature definition, evaluation metrics, monitoring/drift) and collaboration with data science teams to deliver ML-enabled products.

• Knowledge of ML Ops practices (model deployment, monitoring, drift detection) and experimentation/A-B testing.

• Working knowledge of agile methodologies and tools (e.g., Scrum/Kanban; Jira/Azure DevOps).


🏝️ Benefits

• Comprehensive health and welfare benefits.

• Medical, prescription, dental, vision, life insurance, and disability insurance options.

• Paid time off for vacation, illness, bereavement, family, and parental leave.

• Tax-advantaged 401(k) retirement savings plan.

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